model-usage

Summarize per-model usage costs from CodexBar CLI logs.

3|Updated Mar 15, 2026

Search Tags:#cost analysis #model usage #model breakdown #CodexBar CLI #AI cost tracking

Ready to run

npx skills add https://github.com/ai-in-pm/NemoClawd --skill model-usage-ai-in-pm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: model-usage
Source: https://github.com/ai-in-pm/NemoClawd/tree/main/apps/clawdbot-main/skills/model-usage
Command: npx skills add https://github.com/ai-in-pm/NemoClawd --skill model-usage-ai-in-pm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, codexbar, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users summarize the cost usage of specific models (Codex or Claude) for the CodexBar CLI, providing insights into their spending and usage patterns.

Core Features & Use Cases

Cost Summary: Summarizes per-model usage cost from CodexBar's local cost logs.
Current Model: Provides a summary for the current (most recent) model or a full model breakdown.
Use Case: Ideal for users who need to track their model usage and costs, especially when budgeting or optimizing their AI resources.

Quick Start

Run the model-usage skill with the --provider flag to specify Codex or Claude, and the --mode flag to choose between current or all models.

Frequently Asked Questions about model-usage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I track AI model usage costs for Codex or Claude?▼

To summarize model usage costs, you need Python and the CodexBar CLI installed locally. This Skill reads local cost logs to provide a breakdown of spending for Codex or Claude models.

What is the best way to get a full model breakdown of my AI spending?▼

Use this Skill with the --mode flag set to all to generate a full model breakdown. It processes local CodexBar CLI logs to summarize cumulative costs across every model used.

Do I need Python and CodexBar CLI installed to analyze my model costs?▼

Yes, you must have Python and the CodexBar CLI installed locally. This Skill depends on CodexBar's local cost logs to parse and summarize your model usage spending.

Can I check the cost summary for just my most recent AI model?▼

Yes, run this Skill with the --mode flag set to current to check the cost summary for only your most recent AI model. It filters local logs to isolate the latest model spending.

Does this tool support cost tracking for both Codex and Claude models?▼

Yes, it supports cost tracking for both Codex and Claude. You specify the target provider using the --provider flag to filter and summarize the respective local cost logs.